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D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
13184
World Ranking
2620
National Ranking
800

Overview

Kincho H. Law is affiliated with Stanford University in the United States, specializing in engineering with a focus on civil and structural engineering, industrial and manufacturing engineering, mechanical engineering, media technology, and artificial intelligence.

The main topics of Kincho H. Law's research work include infrastructure maintenance and monitoring, remote-sensing image classification, additive manufacturing materials and processes, 3D surveying and cultural heritage, anomaly detection techniques and applications, structural health monitoring techniques, and concrete corrosion and durability.

Recent publications by Kincho H. Law cover a range of topics related to construction, structural monitoring, and intelligent modeling. Notable papers include:

  • Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management, 2020, Automation in Construction
  • An agent-based simulator for indoor crowd evacuation considering fire impacts, 2020, Automation in Construction
  • Rapid visual screening of soft-story buildings from street view images using deep learning classification, 2020, Earthquake Engineering and Engineering Vibration
  • Cyber-physical system architecture for automating the mapping of truck loads to bridge behavior using computer vision in connected highway corridors, 2020, Transportation Research Part C Emerging Technologies
  • Data-driven analytical load rating method of bridges using integrated bridge structural response and weigh-in-motion truck data, 2021, Mechanical Systems and Signal Processing

Frequent co-authors in Kincho H. Law's research include Vivian Wen Hui Wong, Stella X. Yu, Frank McKenna, Seongwoon Jeong, and Ertuǧrul Taciroğlu.

Publications have appeared repeatedly in venues such as Automation in Construction, arXiv (Cornell University), Earthquake Engineering and Engineering Vibration, Transportation Research Part C Emerging Technologies, and Mechanical Systems and Signal Processing.

Best Publications

  • A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations

    Xiaoshan Pan;Charles S. Han;Ken Dauber;Kincho H. Law

  • Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure

    K. Krishnan Nair;Anne S. Kiremidjian;Kincho H. Law

  • An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge

    Hoon Sohn;Mark Dzwonczyk;Erik G. Straser;Anne S. Kiremidjian

  • Time reversal active sensing for health monitoring of a composite plate

    Hyun Woo Park;Hoon Sohn;Kincho H. Law;Charles R. Farrar

  • Two-tiered wireless sensor network architecture for structural health monitoring

    Venkata Anil Kottapalli;Anne S. Kiremidjian;Jerome Peter Lynch;Ed Carryer

  • A wireless structural health monitoring system with multithreaded sensing devices: design and validation

    Yang Wang;Jerome P. Lynch;Kincho H. Law

  • A Bayesian Probabilistic Approach for Structure Damage Detection

    Hoon Sohn;Kincho H. Law

  • A service oriented framework for construction supply chain integration

    Jack Chin Pang Cheng;Kincho Law;Hans J. Bjornsson;Albert T. Jones

  • Embedding damage detection algorithms in a wireless sensing unit for operational power efficiency

    Jerome Peter Lynch;Arvind Sundararajan;Kincho H Law;Anne S Kiremidjian

  • Statistical Analysis of Bridge Damage Data from the 1994 Northridge, CA, Earthquake

    Nesrin I. Basöz;Anne S. Kiremidjian;Stephanie A. King;Kincho H. Law

  • Human and social behavior in computational modeling and analysis of egress

    Xiaoshan Pan;Charles S. Han;Ken Dauber;Kincho H. Law

  • Damage Detection in Composite Plates by Using an Enhanced Time Reversal Method

    Hoon Sohn;Hyun Woo Park;Kincho H. Law;Charles R. Farrar

  • Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning

    Max Ferguson;Ronay Ak;Yung-Tsun Tina Lee;Kincho H. Law

  • Design of Piezoresistive MEMS-Based Accelerometer for Integration with Wireless Sensing Unit for Structural Monitoring

    Jerome P. Lynch;Aaron Partridge;Kincho H. Law;Thomas W. Kenny

  • Automatic localization of casting defects with convolutional neural networks

    Max Ferguson;Ronay Ak;Yung-Tsun Tina Lee;Kincho H. Law

  • Embedment of structural monitoring algorithms in a wireless sensing unit

    Jerome Peter Lynch;Arvind Sundararajan;Kincho H. Law;Anne S. Kiremidjian

  • Design and performance validation of a wireless sensing unit for structural monitoring applications

    Jerome Peter Lynch;Kincho H. Law;Anne S. Kiremidjian;Ed Carryer

  • The Design of a Wireless Sensing Unit for Structural Health Monitoring

    J. P. Lynch;K. H. Law;A. S. Kiremidjian;T. W. Kenny

  • A parallel finite element solution method

    Kincho H. Law

  • Layout optimization for maximizing wind farm power production using sequential convex programming

    Jinkyoo Park;Kincho H. Law

  • Combination of a Time Reversal Process and a Consecutive Outlier Analysis for Baseline-free Damage Diagnosis

    Hoon Sohn;Hyun Woo Park;Kincho H. Law;Charles R. Farrar

Frequent Co-Authors

Jerome P. Lynch
Jerome P. Lynch University of Michigan–Ann Arbor
Hoon Sohn
Hoon Sohn Korea Advanced Institute of Science and Technology
Anne S. Kiremidjian
Anne S. Kiremidjian Stanford University
Gio Wiederhold
Gio Wiederhold Stanford University
Jack Chin Pang Cheng
Jack Chin Pang Cheng Hong Kong University of Science and Technology
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Ram D. Sriram
Ram D. Sriram National Institute of Standards and Technology
Chin-Hsiung Loh
Chin-Hsiung Loh National Taiwan University
Robert W. Dutton
Robert W. Dutton Stanford University
Thomas W. Kenny
Thomas W. Kenny Stanford University

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